RisingTransfers
AI DNA Similarity

Best Alternatives to Ramon Hendriks

Players most similar to Ramon Hendriks (Defender, €5.0M) — ranked by AI DNA similarity score across playing style, pressing intensity, and tactical fit.

Top 3 Alternatives to Ramon Hendriks

  1. 1.Kevin Diks89% DNA match·Borussia Mönchengladbach€5.0M
  2. 2.Danilho Doekhi86% DNA match·FC Union Berlin€13.0M
  3. 3.Noahkai Banks86% DNA match·FC Augsburg€15.0M

Ranked by AI DNA similarity — 768 dimensions across playing style, pressing intensity, and tactical fit.

RT

Intelligence Verdict

Chances MissedTop 0%
???Bottom 14%

A Ball-Playing CB....

See Full Verdict + Share Card →

Playing Style Analysis

Ball-Playing CBBall-PlayingSmall Sample

A Ball-Playing CB. Statistically, he stands out as active in the tackle (1.9 tackles/90), meticulous in distribution (91% pass accuracy), wins the physical battle (68% duel success), heavily involved in possession (63 passes/90) and central to possession (77 touches/90). Note: this profile is based on 468 minutes of playing time this season. The three most similar players to Ramon Hendriks by playing style are:

  • Kevin Diks(89% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.0 tackles/90), commanding in the air (4.9 clearances/90), meticulous in distribution (89% pass accuracy), wins the physical battle (66% duel success), heavily involved in possession (62 passes/90), central to possession (75 touches/90), uses long balls frequently (6.5/90) and active off the ball (3.0 press score/90), contributing to defensive transitions. Note: this profile is based on 778 minutes of playing time this season.
  • Danilho Doekhi(86% match)A Physical Stopper. Statistically, he stands out as a regular goalscorer (0.33 goals/90), commanding in the air (5.3 clearances/90), wins the physical battle (62% duel success), dominant in the air (4.8 aerials won/90, 63%) and uses long balls frequently (7.5/90). Note: this profile is based on 540 minutes of playing time this season.
  • Noahkai Banks(86% match)A Ball-Playing CB. Statistically, he stands out as active in the tackle (2.2 tackles/90), commanding in the air (4.6 clearances/90), meticulous in distribution (90% pass accuracy) and wins the physical battle (59% duel success). Note: this profile is based on 702 minutes of playing time this season.

Transfer Intelligence

Kevin Diks delivers 89% of the same playing style, with 1.87 tackles won per 90 at age 29.

Similarity is calculated using per-90 performance data across multiple playing style dimensions. How Player DNA matching works →

R
Comparison Base
Ramon Hendriks
DefenderNetherlands€5.0M
Full profile →

Similar Players — Ranked by DNA Similarity

#1
K
Kevin Diks
Borussia Mönchengladbach · Bundesliga
Netherlands29yContract 2030
Tkl/901.87
KP/900.21
Ball-Playing CBBall-Playing
Last 5: ↓ Dip
vs Hendriks: 5y older
89% match
€5.0M
#2
D
Danilho Doekhi
FC Union Berlin · Bundesliga
Netherlands27yContract 2026
Tkl/901.00
KP/900.29
Physical StopperAerial
vs Hendriks: €8M more expensive · 3y older
86% match
€13.0M
#3
N
Noahkai Banks
FC Augsburg · Bundesliga
Germany19yContract 2029
Tkl/902.18
KP/900.39
Ball-Playing CBAerial
vs Hendriks: €10M more expensive · 5y younger
86% match
€15.0M
#4
B
Benjamin Henrichs
RB Leipzig · Bundesliga
Germany29yContract 2028
Tkl/902.89
KP/900.96
Active Full-Back
86% match
€9.0M
#5
R
Rasmus Kristensen
Eintracht Frankfurt · Bundesliga
Denmark28yContract 2029
Tkl/902.39
KP/900.80
Active Full-BackAerial
86% match
€14.0M
#6
M
Moritz Jenz
VfL Wolfsburg · Bundesliga
Germany27yContract 2027
Tkl/902.37
KP/900.00
Ball-Playing CBAerial
86% match
€5.0M
#7
J
Jan Paul van Hecke
Brighton & Hove Albion · Premier League
Netherlands25yContract 2027
Tkl/901.54
KP/900.36
Ball-Playing CBBall-Playing
Last 5: → Stable
85% match
€35.0M
#8
S
Stefan Posch
FSV Mainz 05 · Bundesliga
Austria28yContract 2026
Tkl/901.50
KP/900.25
Physical StopperAerial
Last 5: → Stable
86% match
€5.5M
#9
L
Lukas Ullrich
Borussia Mönchengladbach · Bundesliga
Germany22yContract 2027
Tkl/901.33
KP/900.53
Active Full-Back
85% match
€7.0M
#10
J
Jordy Makengo
SC Freiburg · Bundesliga
France24y
Tkl/901.50
KP/900.30
Aerial
Last 5: → Stable
86% match
€6.0M
#11
H
Hjalmar Ekdal
Burnley · Premier League
Sweden27yContract 2027
Tkl/901.40
KP/900.23
Ball-Playing CBAerial
Last 5: → Stable
85% match
€6.0M
#12
K
Ko Itakura
Ajax · Eredivisie
Japan29yContract 2029
Tkl/901.15
KP/900.14
Ball-Playing CBBall-Playing
Last 5: ↑ Hot
85% match
€10.0M

Ask AI: Why are these players similar?

Our 768-dimension Player DNA model matches playing style, physical profile, pressing intensity, and tactical fit. Ask the AI to explain exactly what makes these players statistically similar to Ramon Hendriks.

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Frequently Asked Questions

Who are the best alternatives to Ramon Hendriks?
The top alternatives to Ramon Hendriks based on AI DNA playing style analysis include: Kevin Diks, Danilho Doekhi, Noahkai Banks, Benjamin Henrichs, Rasmus Kristensen. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to Ramon Hendriks in 2026?
Players with a similar profile to Ramon Hendriks in 2026 include Kevin Diks (€5.0M), Danilho Doekhi (€13.0M), Noahkai Banks (€15.0M). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ramon Hendriks play and who plays similarly?
Ramon Hendriks plays as a Defender. Players with a comparable positional profile include Kevin Diks (Netherlands, €5.0M); Danilho Doekhi (Netherlands, €13.0M); Noahkai Banks (Germany, €15.0M); Benjamin Henrichs (Germany, €9.0M).
How does Rising Transfers find similar players?
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.